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Postdoc health data science – deep learning free text

A major source of information for health data science are the unstructured data that are contained in free text, e.g., clinicians’ notes, annotations of medical images and primary care visit records. In our group ...

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Arbeidsvoorwaarden

Standplaats:
Meibergdreef, Amsterdam, Noord-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
28 - 28 uur
Opleidingsniveau:
Postdoctoraal

Functieomschrijving

A major source of information for health data science are the unstructured data that are contained in free text, e.g., clinicians’ notes, annotations of medical images and primary care visit records. In our group, we process, study and use these data for constructing clinical prediction models. These prediction models are used to support clinicians in performing diagnoses and prognoses.

Your position is on the ADELE research project, supported by the Amsterdam Public Health research school and the AMC departments of Medical Informatics and General Practice. The project’s goal is to process free text in primary care visit records in order to create oncological prediction models for ovarian cancer and lung cancer. This first analysis is meant as a preparation for a much bigger project in future.

You will be working in a research team that uses combinations of (deep) machine learning and statistics to process free text in medical documents to create prediction models. The team consists of primary care clinicians and medical data scientists.

In the team, you will be responsible for developing deep learning models to process free text and to further develop clinical prediction models with a combination of (deep) machine learning and statistics.

Functie-eisen

You have a degree in computer science, artificial intelligence and/or data science. Statistical and deep learning methods were part of your degree and/or you have working experience with these methods. Preferably, you have working experience in health care analytics. You are an effective team player and can communicate well across disciplines.

Conditions

This is a 0.8 FTE position for a period for six months. You will be employed by AMC Medical Research BV. The salary is in accordance with CAO-UMC and will start from scale 10 and is commensurate with qualifications and experience. In addition, payment includes a holiday allowance of 8%, a year-end bonus of 8.3% of the gross annual salary, collective income discount on various insurance and travel expenses as well as free parking.

Additional information

For more information, please contact Dr. M.C. Schut (Department of Medical Informatics), tel: 020 5664299, email: m.c.schut@amc.uva.nl.

Bedrijfsomschrijving

The AMC is more than just a hospital. It is a world in which patient care, research and education are integrated, and in which people are always central. It is an academic world full of possibilities for talented individuals that are looking for a place where they can excel. Thinking big, daring to dream, cooperating internationally. And never letting yourself be put off by ‘It’s not possible’ or ’It won’t work anyway’. That is the AMC mentality.

The Department of Medical Informatics at the Academic Medical Center (AMC) affiliated with the Universiteit van Amsterdam conducts research into the support, guidance and evaluation of patient care using methods and techniques from computer science, epidemiology, statistics and related disciplines. The department also plays an important role in the development and teaching of various programmes at the Faculty of Medicine.

The general practice department of the AMC wants to make a substantial contribution to the quality of general practice medicine. We do this by providing education to medical students, general practitioners and external training. In addition, we conduct scientific research and stimulate innovation of meaningful primary care. In order to be able to carry out these tasks, we have close contact with about 600 GPs, who train, conduct research, register and think along about new developments within GP care.